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Towards a dialog strategy for handling miscommunication in human-robot dialog

机译:朝着处理人机对话中误解的对话策略

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This paper presents a first theoretical framework for a dialog strategy handling miscommunication in natural language Human-Robot Interaction (HRI). On the one hand the dialog strategy is deduced from findings about human-human communication patterns and coping strategies for miscommunication. On the other hand, relevant cognitive theories concerning human perception serve as a conceptual basis for the dialog strategy. The novel approach is firstly to combine these communication patterns with coping strategies and cognitive theories from human-human interaction (HHI) and secondly transfer them to HRI as a general dialog strategy for handling miscommunication. The presented approach is applicable to any task-oriented dialog. In a first step the conversational context is confined to route descriptions, given that asking for directions is an restricted but nevertheless challenging example for task-oriented dialog between humans and a robot.
机译:本文介绍了对话策略处理自然语言人体机器人互动(HRI)中的误解的第一个理论框架。一方面,对人类通信模式的调查结果和应对误解策略推导出对话策略。另一方面,关于人类感知的相关认知理论是对话策略的概念依据。首先,新的方法首先将这些通信模式与人为人类互动(HHI)的应对策略和认知理论相结合,并将它们作为处理误解的一般对话策略转移到HRI。所提出的方法适用于任何面向任务的对话框。在第一步中,对话语学上下文被限制在路线描述中,因为要求方向是一个受限制的,但是对于人类和机器人之间的任务对话的限制而是挑战。

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